The proceedings contain 12 papers. The special focus in this conference is on Advanced Analytics and learning on Temporal data. The topics include: EDGAR: Embedded Detection of Gunshots by AI in Real-ti...
ISBN:
(纸本)9783031243776
The proceedings contain 12 papers. The special focus in this conference is on Advanced Analytics and learning on Temporal data. The topics include: EDGAR: Embedded Detection of Gunshots by AI in Real-time;identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves;ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications;clustering of Time Series Based on Forecasting Performance of Global Models;experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction;fast Time Series Classification with Random Symbolic Subsequences;RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection;window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark;application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River;data Augmentation for Time Series Classification with Deep learning Models;Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0.
The proceedings contain 44 papers. The special focus in this conference is on machinelearning and Big data Analytics. The topics include: Bilingual Documents Text Lines Extraction Using Conditional GANs;Performance C...
ISBN:
(纸本)9783031151743
The proceedings contain 44 papers. The special focus in this conference is on machinelearning and Big data Analytics. The topics include: Bilingual Documents Text Lines Extraction Using Conditional GANs;Performance Comparison of YOLO Variants for Object Detection in Drone-Based Imagery;a Microservice Architecture with Load Balancing Mechanism in Cloud Environment;an IoT Application for Detection and Monitoring of Manhole;resource Allocation in 5G and Beyond Edge-Slice Networking Using Deep Reinforcement learning;preface;a Comprehensive Analysis on Mobile Edge Computing: Joint Offloading and Resource Allocation Perspective;the Important Influencing Factors in machine Translation;damaged Units Return Investigation in Printer-Producing Industry Utilizing Big data;colorization of Grayscale Images: An Overview;evolutionary Approaches Toward Traditional to Deep learning-Based Chatbot;analysis of machinelearning Algorithms for Detection of Cyberbullying on Social Networks;sentiment Analysis of Political Tweets for Israel Using machinelearning;a Novel Approach for Real-Time Vehicle Re-identification Using Content-Based Image Retrieval with Relevance Feedback;Extractive and Abstractive Text Summarization Model Fine-Tuned Based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles;RevCode for NLP in Indian Languages;Application for Mood Detection of Students Using TensorFlow and Electron JS;finding Significant Project Issues with machinelearning;Using CNN Technique and Webcam to Identify Face Mask Violation;a Review on Internet of Things-Based Cloud Architecture and Its Application;prediction of Maneuvering Status for Aerial Vehicles Using Supervised learning Methods;HRescue: A Modern ML Approach for Employee Attrition Prediction;using machinelearning to Detect Botnets in Network Traffic.
The proceedings contain 20 papers. The special focus in this conference is on Applied machinelearning and data Analytics. The topics include: RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentati...
ISBN:
(纸本)9783031342219
The proceedings contain 20 papers. The special focus in this conference is on Applied machinelearning and data Analytics. The topics include: RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation Using Convolutional Neural Network;a Credit Card Fraud Detection Model Using machinelearning Methods with a Hybrid of Undersampling and Oversampling for Handling Imbalanced datasets for High Scores;Implementation of YOLOv7 for Pest Detection;online Grocery Shopping: - Key Factors to Understand Shopping Behavior from data Analytics Perspective;a Novel Approach: Semantic Web Enabled Subject Searching for Union Catalogue;how People in South America is Facing Monkeypox Outbreak?;multilevel Classification of Satellite Images Using Pretrained AlexNet Architecture;handwriting Recognition for Predicting Gender and Handedness Using Deep learning;retrieval of Weighted Lexicons Based on Supervised learning Method;univariate Feature Fitness Measures for Classification Problems: An Empirical Assessment;performance Evaluation of Smart Flower Optimization Algorithm Over Industrial Non-convex Constrained Optimization Problems;securing Advanced Metering Infrastructure Using Blockchain for Effective Energy Trading;keratoconus Classification Using Feature Selection and machinelearning Approach;Semantic Segmentation of the Lung to Examine the Effect of COVID-19 Using UNET Model;SMDKGG: A Socially Aware Metadata Driven Knowledge Graph Generation for Disaster Tweets;Brain MRI Image Classification Using Deep learning;a Real-Time Face Recognition Attendance Using machinelearning;towards Abalone Differentiation Through machinelearning.
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and data Science. The topics include: A Generative Adversarial Network Based Approach to Malware Gener...
ISBN:
(纸本)9783031255984
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and data Science. The topics include: A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs;brain Structural Saliency over the Ages;Revisiting Neurological Aspects of Relevance: An EEG Study;BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks;multi-omic data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders;smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of Weights;biologically Inspired Unified Artificial Immune System for Industrial Equipment Diagnostic;a Nonparametric Pooling Operator Capable of Texture Extraction;strategic Workforce Planning with Deep Reinforcement learning;preface;pooling Graph Convolutional Networks for Structural Performance Prediction;enhanced Association Rules and Python;generating Vascular Networks: A Reinforcement learning Approach;expressive and Intuitive Models for Automated Context Representation learning in Credit-Card Fraud Detection;digital Twins: Modelling Languages Comparison;algorithms that Get Old: The Case of Generative Deep Neural Networks;a Two-Country Study of Default Risk Prediction Using Bayesian machine-learning;enforcing Hard State-Dependent Action Bounds on Deep Reinforcement learning Policies;a Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with Drones;best Practices in Flux Sampling of Constrained-Based Models;EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python;a Game Theoretic Flavoured Decision Tree for Classification;hierarchical Decentralized Deep Reinforcement learning Architecture for a Simulated Four-Legged Agent;Robust PCA for Anomaly Detection and data Imputation in Seasonal Time Series;monte Carlo Optimization of Liver machine Perfusion Temperature Policies;A Comparison of SVM Against Pre-trained Language Mo
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and data Science. The topics include: A Generative Adversarial Network Based Approach to Malware Gener...
ISBN:
(纸本)9783031258909
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and data Science. The topics include: A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs;brain Structural Saliency over the Ages;Revisiting Neurological Aspects of Relevance: An EEG Study;BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks;multi-omic data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders;smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of Weights;biologically Inspired Unified Artificial Immune System for Industrial Equipment Diagnostic;a Nonparametric Pooling Operator Capable of Texture Extraction;strategic Workforce Planning with Deep Reinforcement learning;preface;pooling Graph Convolutional Networks for Structural Performance Prediction;enhanced Association Rules and Python;generating Vascular Networks: A Reinforcement learning Approach;expressive and Intuitive Models for Automated Context Representation learning in Credit-Card Fraud Detection;digital Twins: Modelling Languages Comparison;algorithms that Get Old: The Case of Generative Deep Neural Networks;a Two-Country Study of Default Risk Prediction Using Bayesian machine-learning;enforcing Hard State-Dependent Action Bounds on Deep Reinforcement learning Policies;a Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with Drones;best Practices in Flux Sampling of Constrained-Based Models;EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python;a Game Theoretic Flavoured Decision Tree for Classification;hierarchical Decentralized Deep Reinforcement learning Architecture for a Simulated Four-Legged Agent;Robust PCA for Anomaly Detection and data Imputation in Seasonal Time Series;monte Carlo Optimization of Liver machine Perfusion Temperature Policies;A Comparison of SVM Against Pre-trained Language Mo
The proceedings contain 152 papers. The topics discussed include: swarm intelligence based data selection mechanism for reputation generation in social cloud;trust aware multi-objective metaheuristics for workflow sch...
ISBN:
(纸本)9781665496025
The proceedings contain 152 papers. The topics discussed include: swarm intelligence based data selection mechanism for reputation generation in social cloud;trust aware multi-objective metaheuristics for workflow scheduling in cloud computing;deploying mobile application on cloud;threshold based dynamic resource balancing (TDRB) algorithm in cloud computing;user knowledge modelling through azure machinelearning studio;challenges and issues in energy efficient load balancing in the cloud computing environment;leaf disease detection using convolutional neural network;wind power deviation charge reduction using time series models;proposed methodology for early detection of lung cancer with low-dose CT scan using machinelearning;comparison of different machinelearning algorithms based on intrusion detection system;potato plant disease classification through deep learning;and face-mask recognition and detection using deep learning.
The proceedings contain 39 papers. The topics discussed include: evaluation of machinelearning to early detection of highly cited papers;towards using deep reinforcement learning for better COVID-19 vaccine distribut...
ISBN:
(纸本)9781665410144
The proceedings contain 39 papers. The topics discussed include: evaluation of machinelearning to early detection of highly cited papers;towards using deep reinforcement learning for better COVID-19 vaccine distribution strategies;an investigation of forecasting Tadawul all share index (TASI) using machinelearning;intelligent deep detection method for malicious tampering of cancer imagery;an empirical analysis of health-related campaigns on twitter Arabic hashtags;the accuracy performance of semantic segmentation network with different backbones;a comprehensive evaluation of statistical, machinelearning and deep learning models for time series prediction;depression detection in Arabic using speech language recognition;a deep learning framework for temperature forecasting;improving relevance in a recommendation system to suggest charities without explicit user profiles using dual-autoencoders;and the impact of feature selection on different machinelearning models for breast cancer classification.
The proceedings contain 75 papers. The topics discussed include: construction and application of multidimensional analysis model for meteorological infrastructure resources;multidimensional international logistics cha...
ISBN:
(纸本)9798350333947
The proceedings contain 75 papers. The topics discussed include: construction and application of multidimensional analysis model for meteorological infrastructure resources;multidimensional international logistics channel selection decision model based on second-order verifiability factor analysis;study on fairness of group recommendation based on stochastic model checking;the optimization method of multi-modal data hierarchical cache of portal website based on accessible characteristics of data;cost interval determination technology of distribution network project based on project multi-attribute clustering;pipeline reliability assessment method and application based on probability distribution model;research on paper influence evaluation based on citation network;a distributed traceable anonymous transaction scheme;reliability of air-rail hypernetwork under the disturbance of flight delays based on big data;a method for scholars’ influence evaluation based on representative papers;and a Chinese short text classification method based on BERT sentence embedding integrating external statistical features.
The proceedings contain 64 papers. The special focus in this conference is on machinelearning, Image Processing, Network Security and data Sciences. The topics include: Sensorless Control Algorithm of Permanent Magne...
ISBN:
(纸本)9783031243660
The proceedings contain 64 papers. The special focus in this conference is on machinelearning, Image Processing, Network Security and data Sciences. The topics include: Sensorless Control Algorithm of Permanent Magnet Synchronous Motor on Account of Neural Network;a Techno Aid to Ease in e-Rehabilitation;a Novel Approach to Analyse Lung Cancer Progression and Metastasis Using Page Rank Technique;homomorphic Encryption of Neural Networks;an Empirical Study to Enhance the Accuracy of an Ensemble learning Model for Crop Recommendation System by Using Bit-Fusion Algorithm;bayesian learning Model for Predicting Stability of System with Nonlinear Characteristics;Novel ABC: Aspect Based Classification of Sentiments Using Text Mining for COVID-19 Comments;topic Modeling, Sentiment Analysis and Text Summarization for Analyzing News Headlines and Articles;bioBodyComp: A machinelearning Approach for Estimation of Percentage Body Fat;a Computational Approach to Identify Normal and Abnormal Persons Gait Using Various machinelearning and Deep learning Classifier;wearable Technology for Early Detection of Hyperthermia Using machinelearning;intelligent Evaluation Framework of English Composition Based on Intelligent Algorithm;multimedia English Teaching System Based on Computer Information Technology;Correlation Analysis of Central Bank Communication Behavior and Monetary Policy Independence Based on VR Technology and machinelearning;power Demand data Analysis and Recovery for Management of Power Distribution Systems;Optimization Design of Green Building Landscape Space Environment Based on LM-BP Algorithm;design of Computational Thinking Intelligent Training System Under Big data Technology;creative Graphic Design System Based on Multi-objective Firefly Algorithm;next Generation Ultra-sensitive Surface Plasmon Resonance Biosensors.
The proceedings contain 64 papers. The special focus in this conference is on machinelearning, Image Processing, Network Security and data Sciences. The topics include: Sensorless Control Algorithm of Permanent Magne...
ISBN:
(纸本)9783031243516
The proceedings contain 64 papers. The special focus in this conference is on machinelearning, Image Processing, Network Security and data Sciences. The topics include: Sensorless Control Algorithm of Permanent Magnet Synchronous Motor on Account of Neural Network;a Techno Aid to Ease in e-Rehabilitation;a Novel Approach to Analyse Lung Cancer Progression and Metastasis Using Page Rank Technique;homomorphic Encryption of Neural Networks;an Empirical Study to Enhance the Accuracy of an Ensemble learning Model for Crop Recommendation System by Using Bit-Fusion Algorithm;bayesian learning Model for Predicting Stability of System with Nonlinear Characteristics;Novel ABC: Aspect Based Classification of Sentiments Using Text Mining for COVID-19 Comments;topic Modeling, Sentiment Analysis and Text Summarization for Analyzing News Headlines and Articles;bioBodyComp: A machinelearning Approach for Estimation of Percentage Body Fat;a Computational Approach to Identify Normal and Abnormal Persons Gait Using Various machinelearning and Deep learning Classifier;wearable Technology for Early Detection of Hyperthermia Using machinelearning;intelligent Evaluation Framework of English Composition Based on Intelligent Algorithm;multimedia English Teaching System Based on Computer Information Technology;Correlation Analysis of Central Bank Communication Behavior and Monetary Policy Independence Based on VR Technology and machinelearning;power Demand data Analysis and Recovery for Management of Power Distribution Systems;Optimization Design of Green Building Landscape Space Environment Based on LM-BP Algorithm;design of Computational Thinking Intelligent Training System Under Big data Technology;creative Graphic Design System Based on Multi-objective Firefly Algorithm;next Generation Ultra-sensitive Surface Plasmon Resonance Biosensors.
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